Matthew Revie

1.1k total citations
40 papers, 836 citations indexed

About

Matthew Revie is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty and Industrial and Manufacturing Engineering. According to data from OpenAlex, Matthew Revie has authored 40 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Safety, Risk, Reliability and Quality, 15 papers in Statistics, Probability and Uncertainty and 9 papers in Industrial and Manufacturing Engineering. Recurrent topics in Matthew Revie's work include Reliability and Maintenance Optimization (15 papers), Risk and Safety Analysis (14 papers) and Maritime Ports and Logistics (6 papers). Matthew Revie is often cited by papers focused on Reliability and Maintenance Optimization (15 papers), Risk and Safety Analysis (14 papers) and Maritime Ports and Logistics (6 papers). Matthew Revie collaborates with scholars based in United Kingdom, Singapore and United States. Matthew Revie's co-authors include David McMillan, Lesley Walls, Iain Dinwoodie, Iraklis Lazakis, Tim Bedford, Zhi‐Sheng Ye, James Carroll, Alasdair McDonald, John Quigley and Kerem Akartunalı and has published in prestigious journals such as Journal of the American Statistical Association, European Journal of Operational Research and Obesity.

In The Last Decade

Matthew Revie

39 papers receiving 796 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew Revie United Kingdom 15 320 193 179 147 122 40 836
Jichuan Kang China 16 300 0.9× 334 1.7× 285 1.6× 119 0.8× 209 1.7× 46 932
Liping Sun China 19 235 0.7× 468 2.4× 247 1.4× 250 1.7× 330 2.7× 90 1.3k
Javad Barabady Norway 14 425 1.3× 158 0.8× 357 2.0× 27 0.2× 102 0.8× 58 913
Massimiliano Giorgio Italy 22 427 1.3× 82 0.4× 278 1.6× 48 0.3× 24 0.2× 73 1.4k
Mohammad Mahdi Abaei Australia 19 162 0.5× 117 0.6× 474 2.6× 38 0.3× 287 2.4× 37 932
Zoe Nivolianitou Greece 18 189 0.6× 64 0.3× 702 3.9× 139 0.9× 148 1.2× 45 1.1k
Milad Memarzadeh United States 15 111 0.3× 87 0.5× 118 0.7× 35 0.2× 45 0.4× 40 830
Marcelo Ramos Martins Brazil 16 94 0.3× 66 0.3× 389 2.2× 87 0.6× 330 2.7× 109 840
Sarah Bonvicini Italy 21 240 0.8× 73 0.4× 887 5.0× 283 1.9× 107 0.9× 42 1.3k
Vinh N. Dang Switzerland 18 304 0.9× 118 0.6× 1.0k 5.6× 136 0.9× 141 1.2× 73 1.4k

Countries citing papers authored by Matthew Revie

Since Specialization
Citations

This map shows the geographic impact of Matthew Revie's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew Revie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Revie more than expected).

Fields of papers citing papers by Matthew Revie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Revie. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew Revie. The network helps show where Matthew Revie may publish in the future.

Co-authorship network of co-authors of Matthew Revie

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Revie. A scholar is included among the top collaborators of Matthew Revie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew Revie. Matthew Revie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Bin, et al.. (2022). Reliability evaluation of repairable systems considering component heterogeneity using frailty model. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 237(4). 654–670. 3 indexed citations
2.
Liu, Bin, et al.. (2022). Reliability analysis of load-sharing systems with spatial dependence and proximity effects. Reliability Engineering & System Safety. 221. 108284–108284. 9 indexed citations
3.
4.
McMillan, David, et al.. (2018). Decision Support Tool for Offshore Wind Farm Vessel Routing under Uncertainty. Energies. 11(9). 2190–2190. 12 indexed citations
5.
Walls, Lesley, Tim Bedford, Matthew Revie, & Enrico Zio. (2017). Reliability, risk and safety: analytical support for decision making. SPIRE - Sciences Po Institutional REpository. 5(1-4). 1–4. 2 indexed citations
6.
Revie, Matthew, et al.. (2017). A mixed-method optimisation and simulation framework for supporting logistical decisions during offshore wind farm installations. European Journal of Operational Research. 264(3). 894–906. 27 indexed citations
7.
Revie, Matthew, et al.. (2017). On modeling player fitness in training for team sports with application to professional rugby. International Journal of Sports Science & Coaching. 12(2). 183–193. 3 indexed citations
8.
Zhang, Mimi & Matthew Revie. (2016). Continuous-Observation Partially Observable Semi-Markov Decision Processes for Machine Maintenance. IEEE Transactions on Reliability. 66(1). 202–218. 16 indexed citations
9.
Carroll, James, Alasdair McDonald, Iain Dinwoodie, et al.. (2016). Availability, operation and maintenance costs of offshore wind turbines with different drive train configurations. Wind Energy. 20(2). 361–378. 114 indexed citations
10.
McMillan, David, et al.. (2015). Review of Markov Models for Maintenance Optimization in the Context of Offshore Wind. Annual Conference of the PHM Society. 7(1). 14 indexed citations
11.
12.
Lazakis, Iraklis, et al.. (2015). Advanced logistics planning for offshore wind farm operation and maintenance activities. Ocean Engineering. 101. 211–226. 115 indexed citations
13.
Lazakis, Iraklis, et al.. (2015). Cost Benefit Analysis of Mothership Concept and Investigation of Optimum Chartering Strategy for Offshore Wind Farms. Energy Procedia. 80. 63–71. 12 indexed citations
14.
Revie, Matthew, et al.. (2015). Exploring the impact of innovative developments to the installation process for an offshore wind farm. Ocean Engineering. 109. 623–634. 28 indexed citations
15.
Day, Sandy, et al.. (2014). An assessment of vessel characteristics for the installation of offshore wind farms. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 7 indexed citations
16.
Day, Sandy, et al.. (2014). A Support Tool for Assessing the Risks of Heavy Lift Vessel Logistics in the Installation of Offshore Wind Farms. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 11–20. 5 indexed citations
17.
Quigley, John, Matthew Revie, & Jesse Dawson. (2013). Estimating risk when zero events have been observed. BMJ Quality & Safety. 22(12). 1042–1043. 8 indexed citations
18.
Quigley, John & Matthew Revie. (2011). Estimating the Probability of Rare Events: Addressing Zero Failure Data. Risk Analysis. 31(7). 1120–1132. 31 indexed citations
19.
Revie, Matthew, Tim Bedford, & Lesley Walls. (2010). Evaluation of elicitation methods to quantify Bayes linear models. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 224(4). 322–332. 10 indexed citations
20.
Bedford, Tim, John M. Quigley, Matthew Revie, & Lesley Walls. (2008). Historical Exploration - Learning Lessons from the Past to Inform the Future. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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